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The Human Visual System Can Inspire New Interaction Paradigms for LLMs
Paper Details
Published: 2025/05/05
Journal:
Container Title: ICLR 2025 Workshop on Bidirectional Human-AI Alignment (BiAlign)
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PDFThe dominant metaphor of LLMs-as-minds leads to misleading conceptions of machine agency and is limited in its ability to help both users and developers build the right degree of trust and understanding for outputs from LLMs. It makes it harder to disentangle hallucinations from useful model interactions. This position paper argues that there are fundamental similarities between visual perception and the way LLMs process and present language. These similarities inspire a metaphor for LLMs which could open new avenues for research into interaction paradigms and shared representations. Our visual system metaphor introduces possibilities for addressing these challenges by understanding the information landscape assimilated by LLMs.
